Evidence map›Paper›PMID 42423020›Full record

ArticleBJPsych open2026

Beyond discrimination: calibration and decision utility are required before GREAT can guide individual ECT decisions.

Juan Carlos Munguia, Yolly Molina, Patricia Soriano, Isaac Zablah

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BJPsych open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Juan Carlos MunguiaFaculty of Medical Sciences, https://ror.org/03xyve152National Autonomous University of Honduras, Honduras.
Yolly MolinaFaculty of Medical Sciences, https://ror.org/03xyve152National Autonomous University of Honduras, Honduras.
Patricia SorianoDirectorate of Forensic Medicine, Public Ministry, Tegucigalpa, Honduras.
Isaac ZablahFaculty of Medical Sciences, https://ror.org/03xyve152National Autonomous University of Honduras, Honduras.ORCID https://orcid.org/0000-0002-1410-7189

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Belz and colleagues present GREAT, a seven-item clinical instrument for predicting electroconvulsive therapy response in unipolar depression, with promising discriminatory validity (AUC 0.841). We identify three methodological gaps - absent calibration, limited sample representativeness and unquantified incremental value - that must be addressed before GREAT can guide individual clinical decisions.

Indexed as

calibrationdecision curve analysisdepressionElectroconvulsive therapyprediction model

Identifiers

PMID42423020
PMCPMC13359056

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.